{"id":"https://openalex.org/W2051188159","doi":"https://doi.org/10.1137/100818005","title":"Reward-Rate Maximization in Sequential Identification under a Stochastic Deadline","display_name":"Reward-Rate Maximization in Sequential Identification under a Stochastic Deadline","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2051188159","doi":"https://doi.org/10.1137/100818005","mag":"2051188159"},"language":"en","primary_location":{"id":"doi:10.1137/100818005","is_oa":false,"landing_page_url":"https://doi.org/10.1137/100818005","pdf_url":null,"source":{"id":"https://openalex.org/S897311980","display_name":"SIAM Journal on Control and Optimization","issn_l":"0363-0129","issn":["0363-0129","1095-7138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.bilkent.edu.tr/bitstreams/7b09a109-ead9-4d59-8158-9f51b46dc06c/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081203045","display_name":"Sava\u015f Dayanik","orcid":"https://orcid.org/0000-0002-0810-5507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Savas Dayanik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113627744","display_name":"Angela J. Yu","orcid":"https://orcid.org/0009-0007-6146-8810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angela J. Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0641,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89084881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":"4","first_page":"2922","last_page":"2948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7407399415969849},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6342145800590515},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6325973868370056},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4931485056877136},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3704391121864319},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32173675298690796}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7407399415969849},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6342145800590515},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6325973868370056},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4931485056877136},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3704391121864319},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32173675298690796},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1137/100818005","is_oa":false,"landing_page_url":"https://doi.org/10.1137/100818005","pdf_url":null,"source":{"id":"https://openalex.org/S897311980","display_name":"SIAM Journal on Control and Optimization","issn_l":"0363-0129","issn":["0363-0129","1095-7138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"journal-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/26706","is_oa":true,"landing_page_url":"http://hdl.handle.net/11693/26706","pdf_url":"https://repository.bilkent.edu.tr/bitstreams/7b09a109-ead9-4d59-8158-9f51b46dc06c/download","source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"Article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/12944","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/12944","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"Article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:140606","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/140606/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel"}],"best_oa_location":{"id":"pmh:oai:repository.bilkent.edu.tr:11693/26706","is_oa":true,"landing_page_url":"http://hdl.handle.net/11693/26706","pdf_url":"https://repository.bilkent.edu.tr/bitstreams/7b09a109-ead9-4d59-8158-9f51b46dc06c/download","source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"Article"},"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2051188159.pdf","grobid_xml":"https://content.openalex.org/works/W2051188159.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2012037220","https://openalex.org/W2034375586","https://openalex.org/W2038910803","https://openalex.org/W2046427854","https://openalex.org/W2056653303","https://openalex.org/W2059944969","https://openalex.org/W2066931620","https://openalex.org/W2086592225","https://openalex.org/W2114847643","https://openalex.org/W2117166535","https://openalex.org/W2135839089","https://openalex.org/W2145832604","https://openalex.org/W2148377984","https://openalex.org/W2151370270","https://openalex.org/W2158130856","https://openalex.org/W2170449627","https://openalex.org/W2296319761"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2947806671","https://openalex.org/W2390878257","https://openalex.org/W3107784576","https://openalex.org/W623104033","https://openalex.org/W2037938733","https://openalex.org/W2001839669"],"abstract_inverted_index":{"Any":[0],"intelligent":[1],"system":[2],"performing":[3],"evidence-based":[4],"decision":[5,36,41,67,102,201],"making":[6],"under":[7,125,197],"time":[8],"pressure":[9],"must":[10],"negotiate":[11],"a":[12,26,31,117,126,135,299],"speed-accuracy":[13],"trade-off.":[14],"In":[15,43],"computer":[16],"science":[17],"and":[18,38,45,65,75,104,191,208,249,286],"engineering,":[19],"this":[20,260],"is":[21,30,49,107,132,156,162,178,220],"typically":[22],"modeled":[23,51],"as":[24,52],"minimizing":[25],"Bayes-risk":[27,78,139,199,209,236,287],"functional":[28],"that":[29,146,166,173,216,228],"linear":[32],"combination":[33],"of":[34,61,97,101,120,138,245,281],"expected":[35,39,62,66,187,192],"delay":[37,103],"terminal":[40,63,193],"loss.":[42],"neuroscience":[44],"psychology,":[46],"however,":[47],"it":[48,91],"often":[50],"maximizing":[53],"the":[54,59,94,98,129,143,148,152,158,164,174,179,186,226,242,246,253,271,279,283,296],"long-term":[55],"reward":[56,64,160,169,176,194,218,230],"rate,":[57],"or":[58],"ratio":[60],"delay.":[68],"The":[69],"two":[70],"approaches":[71],"have":[72],"opposing":[73],"advantages":[74,280],"disadvantages.":[76],"While":[77],"minimization":[79,210,237,288],"can":[80,224],"be":[81],"solved":[82],"with":[83],"powerful":[84],"dynamic":[85,266],"programming":[86,267],"techniques":[87],"unlike":[88],"reward-rate":[89,110,130,206,272,284],"maximization,":[90],"also":[92,163],"requires":[93],"explicit":[95],"specification":[96],"relative":[99],"costs":[100],"error,":[105],"which":[106,142,185],"obviated":[108],"by":[109,232],"maximization.":[111],"Here,":[112],"we":[113,240,262,293],"demonstrate":[114],"that,":[115],"for":[116,184,269],"large":[118],"class":[119],"sequential":[121],"multihypothesis":[122],"identification":[123,301],"problems":[124],"stochastic":[127],"deadline,":[128],"maximization":[131,207,273,285],"equivalent":[133],"to":[134,214,251,298],"special":[136],"case":[137],"minimization,":[140],"in":[141],"optimal":[144,200,247],"policy":[145,165,227,248],"attains":[147,167],"minimal":[149],"risk":[150,244],"when":[151],"unit":[153,181,255],"sampling":[154,182,256],"cost":[155,183,190,257],"exactly":[157],"maximal":[159,168],"rate":[161,177,219,231],"rate.":[170],"We":[171,223],"show":[172,215],"maximum":[175,217],"unique":[180],"total":[188],"observation":[189],"break":[195],"even":[196],"every":[198],"rule.":[202],"This":[203],"interplay":[204],"between":[205],"formulations":[211],"allows":[212],"us":[213],"always":[221],"attained.":[222],"compute":[225],"maximizes":[229],"solving":[233,270],"an":[234,264,291],"inverse":[235],"problem,":[238],"whereby":[239],"know":[241],"Bayes":[243],"need":[250],"find":[252],"associated":[254],"parameter.":[258],"Leveraging":[259],"equivalence,":[261],"derive":[263],"iterative":[265],"procedure":[268,297],"problem":[274],"exponentially":[275],"fast,":[276],"thus":[277],"incorporating":[278],"both":[282],"formulations.":[289],"As":[290],"illustration,":[292],"will":[294],"apply":[295],"two-hypothesis":[300],"example.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2016-06-24T00:00:00"}
